NS0-901 무료 덤프문제 온라인 액세스

An AI architect is designing a storage solution for a new training cluster. The primary workload consists of training large language models, which involves sequential reads of massive datasets.
The key requirement is to maximize GPU utilization by providing the highest possible data throughput. Cost is a secondary concern to performance.
Which NetApp storage system is the most appropriate choice for this workload?

• A.NetApp C-Series
• B.NetApp StorageGRID
• C.NetApp E-Series
• D.NetApp ASA (All-SAN Array)

The HPC cluster generates simulation data at an extremely high rate, requiring a storage system that can handle massively parallel writes from hundreds of compute nodes simultaneously. Which storage system and file protocol combination is the most appropriate choice for the HPC cluster's high-performance scratch space?

• A.A NetApp StorageGRID system accessed via the S3 protocol.
• B.A Cloud Volumes ONTAP instance with a standard file system.
• C.A NetApp ASA system serving a single, large NFS volume.
• D.A NetApp E-Series system serving a BeeGFS parallel file system.

Which of the following are typical requirements for inferencing in AI models? (Choose two)

• A.Cloud-based inference only
• B.Pre-trained models
• C.Loading the model into memory
• D.Extensive training data

An AI architect is reviewing the design for a new data lake. The primary requirement is to store petabytes of unstructured data (images, video, sensor logs) in a highly durable, scalable, and cost- effective manner. The data will be accessed via S3 API by various data processing and analytics applications.
The initial design proposes using a traditional Network Attached Storage (NAS) filer with a large number of disks. The architect reviews the proposal:
Proposed_System: Traditional NAS Filer
Protocol: NFSv4
Scalability_Model: Scale-up
Metadata_Handling: Centralized in filer head
Cost_per_GB: Moderate
Why is this proposed system a poor choice for a petabyte-scale data lake?

• A.NFS is incapable of storing image or video files.
• B.A traditional scale-up NAS system will face scalability and cost-effectiveness challenges at the petabyte scale compared to an object storage system.
• C.The S3 API cannot be used to access data stored on an NFS file system.
• D.A NAS filer cannot be deployed on-premises.

The architect is designing the complete, automated data pipeline from the on-premises data center to the Azure cloud for this medical imaging project. The design must prioritize security, efficiency, and reproducibility.
Which sequence of actions provides the most robust and automated solution?

• A.Use SnapMirror to replicate the raw, sensitive data to Azure first, then run BlueXP classification in the cloud to find PII.
• B.Manually copy raw data to Azure, run a cloud-based script to anonymize it, then start training.
• C.Use BlueXP classification to scan the on-prem data; use a DataOps Toolkit script to trigger a FlexClone of the source volume for anonymization; use SnapMirror to replicate the anonymized clone to Cloud Volumes ONTAP; then begin training in Azure.
• D.Use FabricPool to automatically tier all raw data to Azure Blob storage, then mount the blob container to the training VMs.